Alphabeta Math
ExampleConstruction: Literature-sourcedVerification: AI-adaptedPipeline-generatedaudited 2026-09-22
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Multiplication operators: domain, spectral measure and spectrum

Example

Assume the Axiom of Choice. Let (X,Σ,μ) be a σ-finite measure space, let m:XR be measurable and finite μ-almost everywhere, and on the Hilbert space H=L2(X,μ;C) (The space Lp(μ) as the quotient by null functions) put D(Mm)={fL2(X,μ):Xm2f2dμ<},Mmf=mf. Then Mm is self-adjoint; its spectral projection valued measure is E(B)=M1m1(B); for every Borel g:RC its functional calculus is g(Mm)=Mgm on the natural domain; and σ(Mm) equals the essential range {tR:μ(m1(tε,t+ε))>0 for every ε>0}.

Facts & Assumptions

[A1]

Complex L2 consists of almost-everywhere equivalence classes and is a Hilbert space under Countable Choice, with u,v=uvdμ (The space Lp(μ) as the quotient by null functions, L2 with the integral pairing is a Hilbert space). AC is assumed, in particular for the spectral theorem and its Countable Choice suppliers (The Axiom of Choice).

[A2]

Dominated convergence holds under an integrable majorant, and nonnegative measurable functions may be integrated by monotone convergence of increasing simple approximations (Dominated convergence, Monotone convergence for the integral, Every nonnegative measurable function is the increasing limit of simple measurable functions).

[A3]

A PVM has orthogonal projection values, multiplicative intersections, normalization and strong countable additivity. It is regular when every scalar measure is regular (Projection valued measure). Every compact-finite Borel measure on a second-countable LCH space is regular (Locally finite Borel measures on second-countable LCH spaces are regular). The real line has a countable rational-interval base and compact closed bounded intervals (Q is countably infinite, Both Q and RQ are dense in R, and every nonempty open subset of R is uncountable, Heine-Borel by bisection: every closed bounded interval [a,b] is compact).

[A4]

For a PVM on nonzero H, the bounded integral is the operator-norm limit of integrals of uniformly approximating complex simple functions, is linear and multiplicative, and obeys the quadratic identity (Bounded borel pvm integral, Pvm integral is a star homomorphism). A simple function in disjoint normal form integrates as the corresponding finite sum of projections (Integral of a simple function against a pvm). The unbounded integral is defined by squared-integrability and truncation, including an explicit zero-space case (Integral of a measurable function against a projection-valued measure).

[A5]

Under AC, a regular PVM on the real line represents a self-adjoint operator by the integral of the identity function, with its squared-integrability domain; for nonzero H the spectral PVM of a self-adjoint operator is unique (Spectral theorem for unbounded self-adjoint operators (PVM form)). Its calculus is integration against that PVM and its spectrum is its essential range, with the zero-space case supplied directly (Unbounded Borel functional calculus: domains, products, spectral mapping).

Verification

technique · direct

Given: The sigma-finite measure space and real-valued measurable multiplier in the example.

1.1

Multiplication by m is well defined on null classes: two representatives that agree off a null set have products agreeing there, and the squared-integrability condition is unchanged. It is linear on its domain, since m(u+v)22mu2+2mv2. For uH, un=u1{mn} belongs to the domain and tends to u in L2 by domination by u2, so the domain is dense. All multiplications and norms below use the complex Hilbert structure in [A1].

A1A2
1.2

A bounded measurable multiplier a gives a bounded operator with au2(supa)u2. Define E(B)u=1m1(B)u for Borel BR. It is idempotent and self-adjoint by the integral pairing in [A1]. Preimages show normalization and multiplicativity. For disjoint Borel Bj, the difference between E(jBj)u and its first n summands has squared norm the integral of u2 over the remaining preimages, tending to zero by dominated convergence. Thus E is a PVM.

A1A2A3
1.3

If H={0}, sigma-finiteness forces μ=0: otherwise some finite-measure set in a countable finite-measure cover would have positive measure, and its indicator would be a nonzero L2 vector. All operators then have full zero-space domain and zero action, and the spectrum and essential range are empty; [A4] and [A5] give the direct zero-space conventions. All claims follow in this case. Henceforth assume H{0} before using the bounded calculus or spectral uniqueness in [A4]–[A5].

A1A4A5
2.1

Its scalar measure is Eu(B)=m1(B)u2dμ, a finite Borel measure of mass u22. The real line is Hausdorff (disjoint small intervals separate distinct points), locally compact by compact closed bounded intervals, and second-countable by the rational base in [A3]. Therefore the regularity theorem in [A3] applies to every Eu: E is regular. Moreover, for any nonnegative Borel q, qdEu=(qm)u2dμ. This holds first for indicators by the displayed scalar measure, then finite nonnegative simple sums, then all nonnegative Borel functions by increasing simple approximation and monotone convergence.

A1A2A3step 1.2
2.2

For a complex Borel simple function s on R, complete its disjoint representation with the zero-coefficient complement. By [A4], its integral against E is multiplication by sm. Given bounded Borel h, partition a square containing its complex range into finitely many Borel cells of diameter tending to zero, taking a fixed corner as each coefficient; these give complex simple sn with supsnh0. The multiplier norm bound from step 1.2 and the operator-norm approximation in [A4] imply ΦE(h)=Mhm.

A4step 1.2
3.1

For arbitrary Borel g:RC, step 2.1 with q=g2 identifies the domain of g(E) with {uH:gm2u2dμ<}. Its bounded truncations act by g(m)1{g(m)n}u by step 2.2, and these tend in L2 to (gm)u by dominated convergence. In particular λdE equals Mm with exactly the stated domain. Regularity proved in step 2.1 licenses the converse spectral theorem in [A5], so Mm is self-adjoint and E is its spectral PVM, unique among regular representing PVMs. Thus the calculation for general g is indeed its functional calculus.

A2A4A5step 2.1step 2.2
4.1

For any measurable set A, the indicator multiplier M1A vanishes if μ(A)=0. Conversely, let (Xn) be a countable cover by finite-measure sets. If μ(A)>0, some AXn has positive finite measure, since a countable union of null sets is null. Then u=1AXn is a nonzero L2 vector fixed by that multiplier. Therefore E(B)=0 exactly when μ(m1(B))=0. Apply the spectral essential-range formula in [A5] to the identity function: this gives precisely the stated real essential range of m. Nonreal points are outside that range since the PVM is on the real line. This completes the domain, self-adjointness, spectral measure, calculus and spectrum claims.

A1A5step 1.2step 3.1

Depends on

Used by

Dependency tree · two levels

125 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources